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-rw-r--r--src/backends/neon/workloads/NeonConstantWorkload.cpp4
-rw-r--r--src/backends/neon/workloads/NeonConvolution2dWorkload.cpp4
-rw-r--r--src/backends/neon/workloads/NeonDepthwiseConvolutionWorkload.cpp6
-rw-r--r--src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp4
-rw-r--r--src/backends/neon/workloads/NeonWorkloadUtils.hpp4
5 files changed, 11 insertions, 11 deletions
diff --git a/src/backends/neon/workloads/NeonConstantWorkload.cpp b/src/backends/neon/workloads/NeonConstantWorkload.cpp
index 83a2692b6e..b9cb807779 100644
--- a/src/backends/neon/workloads/NeonConstantWorkload.cpp
+++ b/src/backends/neon/workloads/NeonConstantWorkload.cpp
@@ -39,7 +39,7 @@ void NeonConstantWorkload::Execute() const
{
const ConstantQueueDescriptor& data = this->m_Data;
- BOOST_ASSERT(data.m_LayerOutput != nullptr);
+ ARMNN_ASSERT(data.m_LayerOutput != nullptr);
arm_compute::ITensor& output =
boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetTensor();
arm_compute::DataType computeDataType =
@@ -69,7 +69,7 @@ void NeonConstantWorkload::Execute() const
}
default:
{
- BOOST_ASSERT_MSG(false, "Unknown data type");
+ ARMNN_ASSERT_MSG(false, "Unknown data type");
break;
}
}
diff --git a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
index 683decd45c..5d45642eef 100644
--- a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
+++ b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
@@ -37,7 +37,7 @@ arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo& input,
if (descriptor.m_BiasEnabled)
{
- BOOST_ASSERT(biases.has_value());
+ ARMNN_ASSERT(biases.has_value());
aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout);
optionalAclBiasesInfo = &aclBiasesInfo;
@@ -97,7 +97,7 @@ NeonConvolution2dWorkload::NeonConvolution2dWorkload(
m_ConvolutionLayer.reset(convolutionLayer.release());
- BOOST_ASSERT(m_ConvolutionLayer);
+ ARMNN_ASSERT(m_ConvolutionLayer);
InitializeArmComputeTensorData(*m_KernelTensor, m_Data.m_Weight);
diff --git a/src/backends/neon/workloads/NeonDepthwiseConvolutionWorkload.cpp b/src/backends/neon/workloads/NeonDepthwiseConvolutionWorkload.cpp
index e39fe54199..a9a3c75bfd 100644
--- a/src/backends/neon/workloads/NeonDepthwiseConvolutionWorkload.cpp
+++ b/src/backends/neon/workloads/NeonDepthwiseConvolutionWorkload.cpp
@@ -49,7 +49,7 @@ arm_compute::Status NeonDepthwiseConvolutionWorkloadValidate(const TensorInfo& i
if (descriptor.m_BiasEnabled)
{
- BOOST_ASSERT(biases.has_value());
+ ARMNN_ASSERT(biases.has_value());
aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout);
optionalAclBiasesInfo = &aclBiasesInfo;
@@ -127,7 +127,7 @@ NeonDepthwiseConvolutionWorkload::NeonDepthwiseConvolutionWorkload(
arm_compute::ActivationLayerInfo(),
aclDilationInfo);
- BOOST_ASSERT(m_pDepthwiseConvolutionLayer);
+ ARMNN_ASSERT(m_pDepthwiseConvolutionLayer);
ScopedCpuTensorHandle weightsPermutedHandle(weightPermuted);
InitializeArmComputeTensorData(*m_KernelTensor, &weightsPermutedHandle);
@@ -144,7 +144,7 @@ NeonDepthwiseConvolutionWorkload::NeonDepthwiseConvolutionWorkload(
void NeonDepthwiseConvolutionWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDepthwiseConvolutionWorkload_Execute");
- BOOST_ASSERT(m_pDepthwiseConvolutionLayer);
+ ARMNN_ASSERT(m_pDepthwiseConvolutionLayer);
m_pDepthwiseConvolutionLayer->run();
}
diff --git a/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp b/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp
index c62f71948c..ffca2076fe 100644
--- a/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp
+++ b/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp
@@ -38,7 +38,7 @@ arm_compute::Status NeonTransposeConvolution2dWorkloadValidate(const TensorInfo&
if (descriptor.m_BiasEnabled)
{
- BOOST_ASSERT(biases.has_value());
+ ARMNN_ASSERT(biases.has_value());
aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout);
optionalAclBiasesInfo = &aclBiasesInfo;
@@ -81,7 +81,7 @@ NeonTransposeConvolution2dWorkload::NeonTransposeConvolution2dWorkload(
m_Layer = std::make_unique<arm_compute::NEDeconvolutionLayer>(memoryManager);
m_Layer->configure(&input, m_KernelTensor.get(), m_BiasTensor.get(), &output, padStrideInfo);
- BOOST_ASSERT(m_Layer);
+ ARMNN_ASSERT(m_Layer);
InitializeArmComputeTensorData(*m_KernelTensor, m_Data.m_Weight);
diff --git a/src/backends/neon/workloads/NeonWorkloadUtils.hpp b/src/backends/neon/workloads/NeonWorkloadUtils.hpp
index 3f0fe842aa..c3c9d3dbbc 100644
--- a/src/backends/neon/workloads/NeonWorkloadUtils.hpp
+++ b/src/backends/neon/workloads/NeonWorkloadUtils.hpp
@@ -35,7 +35,7 @@ void CopyArmComputeTensorData(arm_compute::Tensor& dstTensor, const T* srcData)
inline void InitializeArmComputeTensorData(arm_compute::Tensor& tensor,
const ConstCpuTensorHandle* handle)
{
- BOOST_ASSERT(handle);
+ ARMNN_ASSERT(handle);
switch(handle->GetTensorInfo().GetDataType())
{
@@ -59,7 +59,7 @@ inline void InitializeArmComputeTensorData(arm_compute::Tensor& tensor,
CopyArmComputeTensorData(tensor, handle->GetConstTensor<int32_t>());
break;
default:
- BOOST_ASSERT_MSG(false, "Unexpected tensor type.");
+ ARMNN_ASSERT_MSG(false, "Unexpected tensor type.");
}
};